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Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.3735-3756

2020

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DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.1194-1206

2021

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EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

IEEE journal of selected topics in applied earth observations and remote sensing, 2019-07, Vol.12 (7), p.2217-2226

2019

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Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.5326-5350

2020

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Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.6308-6325

2020

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YOLOv5-Tassel: Detecting Tassels in RGB UAV Imagery With Improved YOLOv5 Based on Transfer Learning

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.8085-8094

2022

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A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening

IEEE journal of selected topics in applied earth observations and remote sensing, 2018-03, Vol.11 (3), p.978-989

2018

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Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.968-999

2022

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Spectral-Spatial Classification of Hyperspectral Data Based on Deep Belief Network

IEEE journal of selected topics in applied earth observations and remote sensing, 2015-06, Vol.8 (6), p.2381-2392

2015

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Deep Learning-Based Classification of Hyperspectral Data

IEEE journal of selected topics in applied earth observations and remote sensing, 2014-06, Vol.7 (6), p.2094-2107

2014

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Progress and Challenges in Intelligent Remote Sensing Satellite Systems

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.1814-1822

2022

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A Simplified 2D-3D CNN Architecture for Hyperspectral Image Classification Based on Spatial-Spectral Fusion

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.2485-2501

2020

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DeepUNet: A Deep Fully Convolutional Network for Pixel-Level Sea-Land Segmentation

IEEE journal of selected topics in applied earth observations and remote sensing, 2018-11, Vol.11 (11), p.3954-3962

2018

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Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations

IEEE journal of selected topics in applied earth observations and remote sensing, 2018-03, Vol.11 (3), p.730-742

2018

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Hyperspectral Anomaly Detection by Fractional Fourier Entropy

IEEE journal of selected topics in applied earth observations and remote sensing, 2019-12, Vol.12 (12), p.4920-4929

2019

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Multilabel Remote Sensing Image Retrieval Based on Fully Convolutional Network

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.318-328

2020

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Research Progress on Few-Shot Learning for Remote Sensing Image Interpretation

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.2387-2402

2021

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Spatiotemporal Satellite Image Fusion Using Deep Convolutional Neural Networks

IEEE journal of selected topics in applied earth observations and remote sensing, 2018-03, Vol.11 (3), p.821-829

2018

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Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition

IEEE journal of selected topics in applied earth observations and remote sensing, 2018-04, Vol.11 (4), p.1227-1243

2018

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STransFuse: Fusing Swin Transformer and Convolutional Neural Network for Remote Sensing Image Semantic Segmentation

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.10990-11003

2021

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A CNN-Transformer Network With Multiscale Context Aggregation for Fine-Grained Cropland Change Detection

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.4297-4306

2022

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Active Deep Learning for Classification of Hyperspectral Images

IEEE journal of selected topics in applied earth observations and remote sensing, 2017-02, Vol.10 (2), p.712-724

2017

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Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

IEEE journal of selected topics in applied earth observations and remote sensing, 2012-04, Vol.5 (2), p.354-379

2012

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Validation of Soil Moisture Data Products From the NASA SMAP Mission

IEEE journal of selected topics in applied earth observations and remote sensing, 2022-01, Vol.15, p.364-392

2022

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Channel-Attention-Based DenseNet Network for Remote Sensing Image Scene Classification

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.4121-4132

2020

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Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities

DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review

Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review

YOLOv5-Tassel: Detecting Tassels in RGB UAV Imagery With Improved YOLOv5 Based on Transfer Learning

A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening

Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects

Spectral-Spatial Classification of Hyperspectral Data Based on Deep Belief Network

Deep Learning-Based Classification of Hyperspectral Data

Progress and Challenges in Intelligent Remote Sensing Satellite Systems

A Simplified 2D-3D CNN Architecture for Hyperspectral Image Classification Based on Spatial-Spectral Fusion

DeepUNet: A Deep Fully Convolutional Network for Pixel-Level Sea-Land Segmentation

Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations

Hyperspectral Anomaly Detection by Fractional Fourier Entropy

Multilabel Remote Sensing Image Retrieval Based on Fully Convolutional Network

Research Progress on Few-Shot Learning for Remote Sensing Image Interpretation

Spatiotemporal Satellite Image Fusion Using Deep Convolutional Neural Networks

Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition

STransFuse: Fusing Swin Transformer and Convolutional Neural Network for Remote Sensing Image Semantic Segmentation

A CNN-Transformer Network With Multiscale Context Aggregation for Fine-Grained Cropland Change Detection

Active Deep Learning for Classification of Hyperspectral Images

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

Validation of Soil Moisture Data Products From the NASA SMAP Mission

Channel-Attention-Based DenseNet Network for Remote Sensing Image Scene Classification

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